Triple

T4750703
Position Surface form Disambiguated ID Type / Status
Subject The Losers (2010 film) E105469 entity
Predicate mainCharacter P1183 FINISHED
Object Cougar
Cougar is a skilled and taciturn sniper who serves as one of the key members of the special forces team in the action film "The Losers" (2010).
 E467292 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Cougar | Statement: [The Losers (2010 film), mainCharacter, Cougar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cougar
Context triple: [The Losers (2010 film), mainCharacter, Cougar]
  • A. Cougars
    Cougars is the athletic nickname and mascot for the College of Charleston’s sports teams.
  • B. Cougars
    Cougars are the athletic teams and spirit symbol representing Chicago State University in collegiate sports.
  • C. Cougars
    Cougars is the nickname used by the former American Basketball Association team known as the Carolina Cougars.
  • D. Cougars
    The Cougars are the athletic teams representing the University of Minnesota Morris in intercollegiate sports.
  • E. Coyotes
    The Coyotes are the intercollegiate athletic teams representing California State University, San Bernardino in NCAA competition.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cougar
Triple: [The Losers (2010 film), mainCharacter, Cougar]
Generated description
Cougar is a skilled and taciturn sniper who serves as one of the key members of the special forces team in the action film "The Losers" (2010).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cougar
Target entity description: Cougar is a skilled and taciturn sniper who serves as one of the key members of the special forces team in the action film "The Losers" (2010).
  • A. Cougars
    Cougars are the athletic teams and spirit symbol representing Chicago State University in collegiate sports.
  • B. Cougars
    Cougars is the athletic nickname and mascot for the College of Charleston’s sports teams.
  • C. Cougars
    Cougars is the nickname used by the former American Basketball Association team known as the Carolina Cougars.
  • D. Cougars
    The Cougars are the athletic teams representing the University of Minnesota Morris in intercollegiate sports.
  • E. Coyotes
    The Coyotes are the intercollegiate athletic teams representing California State University, San Bernardino in NCAA competition.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64c83af48190bd57be79c1505e9d completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a561a7c8190a5ab87751ab36e0d completed March 21, 2026, 6:27 a.m.
NEDg Description generation batch_69be3d2063e48190afb3fdfd5ad6749f completed March 21, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69be3d99a288819088e42e04de5c17a4 completed March 21, 2026, 6:41 a.m.
Created at: March 20, 2026, 1:20 p.m.